2 citations · 2 across the 5 of their papers we have counts for
5 papers
Quantum-classical crossover in fault-tolerant quantum dynamics simulation
Jinzhao Sun, Bozhen Zhou, Jue Xu +28
While quantum computers promise to solve classically intractable problems, identifying the point at which fault-tolerant quantum computation outperforms the best classical algorith…
Reducing C-NOT Counts for State Preparation and Block Encoding via Diagonal Matrix Migration
Zexian Li, Guofeng Zhang, Xiao-Ming Zhang
Quantum state preparation and block encoding are versatile and practical input models for quantum algorithms in scientific computing. The circuit complexity of state preparation an…
Binary Tree Block Encoding of Classical Matrix
Zexian Li, Xiao-Ming Zhang, Chunlin Yang +1
Block-encoding is a critical subroutine in quantum computing, enabling the transformation of classical data into a matrix representation within a quantum circuit. The resource trad…
Robust and optimal loading of general classical data into quantum computers
Xiao-Ming Zhang
As standard data loading processes, quantum state preparation and block-encoding are critical and necessary processes for quantum computing applications, including quantum machine…
Graph Neural Networks on Quantum Computers
Yidong Liao, Xiao-Ming Zhang, Chris Ferrie
Graph Neural Networks (GNNs) are powerful machine learning models that excel at analyzing structured data represented as graphs, demonstrating remarkable performance in application…